• 제목/요약/키워드: Research trends analysis

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국외 독서 및 독서교육 연구동향 분석: 문헌정보학 분야를 중심으로 (An Analytical Study on Research Trends of Reading and Reading Instruction in Overseas: Focused on Library and Information Science)

  • 김판준
    • 정보관리학회지
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    • 제32권3호
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    • pp.69-97
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    • 2015
  • 본 연구는 문헌정보학 측면에서 국외 독서 및 독서교육 연구의 동향을 분석하고 향후의 연구과제를 제시하였다. 이를 위해 첫째, 문헌정보학 분야 국외 데이터베이스(LISTA)의 통제 키워드와 DDC 23판을 검토하여 독서 및 독서교육 관련 주요 연구 영역을 설정하였다. 둘째, 문헌정보학 분야 국외 데이터베이스(LISTA)에서 검색한 지난 100년(1914년~2014년) 동안의 독서 및 독서교육 관련 학술논문(2,115편)을 대상으로 지적구조 분석을 적용하여 연구동향을 분석하였다. 셋째, 이러한 연구동향 분석의 결과에 기초하여 독서 및 독서교육 분야의 향후 연구과제를 제시하였다.

영유아기 자녀를 둔 우리나라 아버지 관련 연구 경향 분석: 1980년 이후 학술지 논문을 중심으로 (Analysis of Trends in Research on Korean Fathers with Young Children Published in Journals between 1980 and 2006)

  • 김정원;김유정
    • 대한가정학회지
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    • 제45권5호
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    • pp.25-38
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    • 2007
  • This study sought to analyze the trends in research on Korean fathers with young children. In this study, journal articles related to child and family studies, early childhood education and childcare published between 1980 and 2006 were analyzed for research frequency, content, and methodology. The study results were as follows. First, 56 research articles on Korean fathers with young children were published during this period of time. Second, the research was primarily focused on fathering attitudes and the relationships between the characteristics of the father and the development of the child. Third, the majority of the studies used methods categorized as quantitative and non-experimental: the subjects included more than 100 fathers with 3-5-year-old children. Research instruments validated in foreign countries (52.4%), surveys (75.4%), and quantitative data analysis methods (98.2%) were primarily used in these research studies. Finally, the results of this study suggest that further studies concerning Korean fathers with young children need to be conducted according to current research trends, content, and methodology.

유아 창의성에 관한 연구동향 분석 (Analysis of Trends in Research on Creativity of Preschool Children)

  • 이채호;최인수
    • 아동학회지
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    • 제30권5호
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    • pp.1-8
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    • 2009
  • For the purpose of this analysis of trends in research on creativity of preschool children, 98 volumes with articles on the creativity of preschool children were selected from 6 reliable Korean academic journals. Analysis was for year, content, research methods, research design, and subjects. Results showed that (1) the changes by year were that the number of qualitative researches increased from 4 articles in 1998 to 24 articles in 2006. (2) The greatest amount of research content concerned educational methods for the generation of creativity. (3) Most research methods were empirical studies. (4) The most used measurement scale was the Korean Comprehensive Creativity Test for Young Children (Jeon, 2000). (5) Most data analyses were by t-test.

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Deep Learning Research Trend Analysis using Text Mining

  • Lee, Jee Young
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.295-301
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    • 2019
  • Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

토픽모델링을 활용한 응급구조사 관련 연구동향 (Identifying research trends in the emergency medical technician field using topic modeling)

  • 이정은;김무현
    • 한국응급구조학회지
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    • 제26권2호
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    • pp.19-35
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    • 2022
  • Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.

생물교육 연구의 동향- 영국의 Journal of Biological Education의 컴퓨터 분석 (Research Trends on Biological Education An analysis of Journal of Biological Education of England Using a Com puter Program)

  • 안태인
    • 한국과학교육학회지
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    • 제9권1호
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    • pp.69-74
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    • 1989
  • For the advancement of research in biological education in Korea, research trends shown in Journal of Biological Education(JBE)of England were analyzed by using a PC program(REFMENU). Papers Published in JBE between 1977 and 1987 were registered on the program with classifying keys of biological education and biology including names of authors, year, title, volume pages, and key words. Those input-date were analyzed by sorting depend-ing on either the classifying keys or the key words. Among the 361 papers 28.8% was dealing with the theory of science education. The rest dealt with biology and biological education, together. Of the six categories of biological education, the research on biological curriculum was 41 % of total and was the most. The major trends in this category was in developing the content of the curriculum. In the research of biological instruction, 37 papers dealt with the instruction theory and the rest 60 papers dealt with the tactics of Instruction. Of the 60 papers on materials in biological education, the research in developing the biological material was the most. Thus, the general research trend was far more practical aspect than the theoretical aspect of biological education. In the analysis of the papers depending on the biological categories, the one dealt with ecology was the most(26.8%). The rest papers showed almost even distribution in the 13 categories of biology. The results of this analysis was discussed by comparing with the research trends in Korea to suggest the possible future studies.

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PubMed 수록 논문을 활용한 한약 처방과 양약 상호작용에 관한 연구 동향 분석 (Analysis of Research Trends on Interactions between Herbal Formula and Conventional Drugs Using Papers from PubMed)

  • 예상준
    • 대한한의학방제학회지
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    • 제32권3호
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    • pp.365-375
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    • 2024
  • Objectives : Herbal formula consist of multiple herbs, which can potentially interact with conventional drugs. If these interactions are not properly understood, they may reduce treatment efficacy or cause unexpected side effects. Thus, this study collected and analyzed papers on herbal formula and conventional drug interactions from PubMed to analyze various research trends. Methods : To analyze research trends on herbal formula and drug interactions, we first created search queries using a dictionary of herbal formula terms and collected related papers from PubMed using the Entrez API. The PubTator API was applied to identify compound names in the abstracts, recognizing compounds registered in the DrugBank as conventional drugs. Sentences describing interactions between herbal formulas and drugs were extracted using pattern matching, and relevant papers were selected. Trends were then analyzed by year, country, major formulas, major drugs, and interaction networks. Results : Yearly analysis showed a gradual increase in paper counts with a significant rise after 2010. Country analysis revealed that China published the most papers (53), followed by Japan (19) and South Korea (8). formula analysis identified 'sosiho-tang' and 'siryung-tang' as the most frequently mentioned (7 times each). Drug analysis showed '5-fluorouracil', 'acetaminophen', 'entecavir', and 'streptozotocin' were the most frequently mentioned (4 times each). Network analysis revealed 'sosiho-tang and tolbutamide' and 'siryung-tang and prednisolone' as the most frequently, mentioned interactions (3 times each). Disease analysis indicated 'urogenital diseases' were the most discussed (32 mentions), Followed by 'pathological conditions, signs, and symptoms' and 'digestive system diseases' (25 mentions each). Conclusions : Analyzing research trends on herbal formula and conventional drug interactions provides basic data for subsequent research, aiming to reduce side effects and enhance treatment efficacy in clinical settings.

꿈분석 해외 연구동향 -해외학술지 중심- (An Overseas Research Trends in Dream Analysis -Focused on Overseas Journals-)

  • 공현민;신동열
    • 산업진흥연구
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    • 제8권4호
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    • pp.139-146
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    • 2023
  • 본 연구는 2019년에서 2023년 사이의 5년간 꿈분석 관련 해외학술지를 중심으로 연구동향을 살펴봄으로써 꿈분석과 관련된 앞으로의 국내 연구 방향에 대한 시사점을 도출해 보는데 목적이 있다. 이를 위해 2019년부터 2023년까지 Google scholar에서 검색한 해외학술지 84편을 선정하여 게재 연도, 주제별 학술지, 주 사용이론, 주요 연구 주제, 연구방법 등 연구 동향을 분석하였다. 분석 결과는 첫째, 2019년부터 2021년까지 게재된 연구 수가 증가 후 감소하는 추세이고, 코로나19 기간 동안 관련 연구가 각 국가에서 활발했다. 둘째, 꿈분석을 통해 무의식을 해석하고 다양한 분야로 접목하는 경향성을 보였다. 셋째, 연구방법의 동향은 질적연구를 이용한 연구가 53편, 양적연구 24편, 혼합연구 5편, 메타분석 2편순으로 나타났다. 끝으로 연구 결과에 대한 논의와 꿈분석 분야에서의 후속연구에 대해 제언하고자 한다.

Analyzing XR(eXtended Reality) Trends in South Korea: Opportunities and Challenges

  • Sukchang Lee
    • International Journal of Advanced Culture Technology
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    • 제12권2호
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    • pp.221-226
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    • 2024
  • This study used text mining, a big data analysis technique, to explore XR trends in South Korea. For this research, I utilized a big data platform called BigKinds. I collected data focusing on the keyword 'XR', spanning approximately 14 years from 2010 to 2024. The gathered data underwent a cleansing process and was analyzed in three ways: keyword trend analysis, relational analysis, and word cloud. The analysis identified the emergence and most active discussion periods of XR, with XR devices and manufacturers emerging as key keywords.

키워드 네트워크 분석을 통한 "한국의학교육"과 "의학교육논단"의 연구동향 분석 (Analysis of Research Trends in the Korean Journal of Medical Education and Korean Medical Education Review Using Keyword Network Analysis)

  • 이애화;김순구;황일선
    • 의학교육논단
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    • 제23권3호
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    • pp.176-184
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    • 2021
  • The aim of this study was to analyze the research trends in articles published in the Korean Journal of Medical Education (KJME) and Korean Medical Education Review (KMER) using keyword network analysis. The analyses included 507 papers from 2010 to 2019 published in KJME and KMER. First, keyword frequency analysis showed that the research topics that appeared in both journals were "medical student," "curriculum," "clinical clerkship," and "undergraduate medical education." Second, centrality analysis of a network map of the keywords identified "curriculum" and "medical student" as highly important research topics in both journals. Third, a cluster analysis of 20 core keywords in KMER identified research clusters related to academic motivation, achievement, educational measurement, medical competence, and clinical practice (centered on "learning," while in KJME, clusters were related to educational method and program evaluation, medical competence, and clinical practice (centered on "teaching"). In conclusion, future medical education research needs to expand to encompass other research areas, such as educational methods, student evaluations, the educational environment, student counseling, and curriculum.